Instructions to use Tiiny/TurboSparse-Mixtral-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tiiny/TurboSparse-Mixtral-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Tiiny/TurboSparse-Mixtral-Instruct", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tiiny/TurboSparse-Mixtral-Instruct", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f717b6b872eb89fc58b9ab08de47af11939e901b5e0cc42b9717e0c020e29b6
- Size of remote file:
- 5 GB
- SHA256:
- d259a6dbc38cdfde53ff71f7da6e5c75b1642744b43a13c1f22940df838562fa
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